7. Optimize Learning with Spaced Repetition Prompt: "You are an expert in learning strategies. Help me create a spaced repetition schedule for mastering [subject]. Outline a study plan that specifies when and how often I should review the material to retain it long-term."
PROMPT ENGINEERING
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Using ChatGPT-4o Prompts for Personal Productivity and Automation
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I turned ChatGPT-4o into my personal assistant. Now I only work 1 hour a day. Here are 8 prompts I use to save hours every week:
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Motion Prompting Framework for Precise Video Generation Control
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Motion Prompting for Generation A flexible motion control framework for generating videos with precise spatio-temporal dynamics through motion prompts. Problem: Existing video generation models lack nuanced control over dynamic actions and temporal compositions,
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WordPress categories focused on AI topics
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For anyone else reading along, tested this idea in a new post:
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Discussion of CoT and model memorization/novelty
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Also, the reason for the light square condition is to inject arbitrary novelty, adding credence the solution isn’t memorized from training I’m not worried it is; in that 5m45s o1 spews out a dozen pages of CoT summary broadly consistent with its answer — representative excerpt:
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AI model ‘o1 pro’ hits limits and produces illegal chess positions
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This seems to be near the limit of what o1 pro can handle for this problem I first tried two pawns, two bishops, and a rook, but in four attempts o1 pro hit an error without returning and in the one that did, the position was not legal (both kings in check)
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ChatGPT constructs a legal contrived checkmate
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ChatGPT o1 pro constructs a legal (though contrived) checkmate position where each player has two pawns and a rook and all light squares are empty
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Chatbots democratize ancient text translation and rediscovery
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The fact that Rob can toss ancient Tibetan texts into a $20/month chatbot to become one of the first folks to see a translation is bloody remarkable. People asking about hallucinations are missing the point. There's immense latent wisdom waiting to be rediscovered — and
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ALAMA: Framework for Language Agents Learning Mechanisms
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4). ALAMA – a new framework that helps language agents automatically learn when to use different mechanisms (ReAct, CoT, Reflection, etc.) for automatically completing tasks, improving on current approaches that use fixed or predefined mechanisms.